https://diogo-dantas.github.io/posts/data-viz/Recent content in Top Category Sample on D i o g o D A T AHugo -- gohugo.ioenSat, 22 Feb 2025 06:00:16 +0600https://diogo-dantas.github.io/posts/data-viz/python/streamlit-us-airlines/Sat, 22 Feb 2025 06:00:16 +0600https://diogo-dantas.github.io/posts/data-viz/python/streamlit-us-airlines/<p>The project to analyze sentiment in tweets about airlines was developed to offer an interactive and engaging interface using Streamlit. The purpose of the application is to enable users to view tweets classified according to the type of sentiment - positive, negative or neutral - in order to analyze public perceptions in real time. With this tool, it is possible to explore how people feel about airlines and get a clearer picture of what is being discussed on social networks.</p>https://diogo-dantas.github.io/posts/data-viz/power-bi/dash-vendas/Thu, 20 Feb 2025 06:00:10 +0600https://diogo-dantas.github.io/posts/data-viz/power-bi/dash-vendas/<p>In a highly competitive sector such as electronics, efficient analysis of sales and returns data is essential for improving processes and boosting store performance. For a fictitious chain of stores, I created a Power BI dashboard with the aim of providing a clear and dynamic view of this data, helping to make more strategic decisions.</p> <p>The main task was to transform raw sales and returns data into valuable, strategic information. To do this, I used Power Query in the ETL (Extract, Transform and Load) process from files in XLSX format. This work included detailed cleaning and normalization of the data, structuring it efficiently for analysis.</p>